metadata
license: other
license_name: flux-non-commercial-license
license_link: >-
https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9B/blob/main/LICENSE.md
language:
- en
base_model:
- black-forest-labs/FLUX.2-klein-base-9B
pipeline_tag: image-to-image
library_name: diffusers
tags:
- art
- lora
- Cinematic
- FlatLog
Flux2-Klein-Cinematic-FlatLog-Control
Flux2-Klein-Cinematic-FlatLog-Control is an adapter LoRA developed for FLUX.2-klein-base-9B, designed to transform images into a cinematic flat log look. The model reduces contrast and saturation to achieve a neutral, log-style tonal response while preserving the original identity, composition, textures, and geometry. It enables consistent cinematic grading workflows with smooth highlight roll-off, controlled shadows, and artifact-free results.
Quick Start with Diffusers
Compatible with versions 2509 and 2511.
pip install -U diffusers transformers accelerate
import torch
from diffusers import Flux2KleinPipeline
from diffusers.utils import load_image
# Switch to "mps" for Apple devices
pipe = Flux2KleinPipeline.from_pretrained(
"black-forest-labs/FLUX.2-klein-base-9B",
torch_dtype=torch.bfloat16,
device_map="cuda"
)
pipe.load_lora_weights("prithivMLmods/Flux2-Klein-Cinematic-FlatLog-Control")
prompt = "Transform into a cinematic flat log"
input_image = load_image(
"https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png"
)
image = pipe(image=input_image, prompt=prompt).images[0]
Trained on ModelScope.cn
Trigger Prompt
Use the following prompt to activate the cinematic flat log behavior:
Transform into a cinematic flat log
Download Model
You can download the model files from the Files & versions tab: Download